Fine QTLs and genomic selection for production traits in ... · 11(+4) sires. G2 ewes. x. 11 Sarda...
Transcript of Fine QTLs and genomic selection for production traits in ... · 11(+4) sires. G2 ewes. x. 11 Sarda...
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
A. Carta1, M.G. Usai1, S. Sechi1, S. Salaris1, S. Miari1, T. Sechi1, G.B. Congiu1, G. Mulas1, S. Murru2
and S. Casu1
1Research Unit: Genetics and Biotechnology, DIRPA‐AGRIS Sardegna, Sassari, Italy
2Associazione Nazionale della Pastorizia –
ASSONAPA, Rome, Italy
Fine mapping of QTLs and genomic selection for production traits in an experimental population of Sarda
dairy sheep.
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
Official recording:•
Milk Yield• Fat and Protein Content• Udder Morphology• Somatic Cell Count• PrP Genotyping
Official recording:• Milk Yield• Fat and Protein Content• Udder Morphology• Somatic Cell Count• PrP Genotyping AI and NM
Elite rams
240,000 animals, 1,062 flocks
Sire’s dams
500 sampling rams ± 50 rams
3,000,000 animals; 11,000 flocks
One out‐of‐season lambing period per year
Lambing: adults from October to DecemberLambing: primiparous ewes from February to March
Lambs slaughtered after 30 days
Milk processed in PDO cheeses(Pecorino Romano, Pecorino Sardo e Fiore Sardo)
Diffusion of
genetic gain by
natural mating
rams
Selection scheme of Sarda dairy sheep breed
The breeding programs currently ongoing based on the traditional quantitative approach have achieved appreciable genetic gains for milk yield.
Introduction
Selected Population
Commercial Flocks
Official recording:•
Milk Yield• Fat and Protein Content• Udder Morphology• Somatic Cell Count• PrP Genotyping
Official recording:• Milk Yield• Fat and Protein Content• Udder Morphology• Somatic Cell Count• PrP Genotyping
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
Possibility of including other traits:
•SCC, FC, PC udder morphology (included with simplified recording)
•resistance to diseases (mastitis, internal parasites, paratuberculosis)
•milk nutritional value (fatty acid composition)
•milkability traits
limited by
high organizational effort
needed to apply the traditional quantitative approach
high recording costs for traits difficult to measure
reduction of public funding
The application of selection schemes assisted by molecular
information is potentially useful in dairy sheep
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
The main reasons:
•high cost of HD SNP arrays mainly if related to the number of recorded traits
•difficulty in finding well‐structured training populations to estimate SNP effects
• advent of affordable high‐throughput technology for SNP
• reduction in sequencing costs
shift to SNP markers for
QTL mapping and genome‐wide selection studies
Genome‐wide selection seems still unachievable
in most dairy sheep breeds
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
To present preliminary elements to evaluate the
potential evolution to nucleus flocks of pre‐existing
experimental populations created for QTL detection
purposes
to increase the efficiency of the selection process
Aim of this study
Experimental populationx
10 Lacaune sires 10 Sarda dams
10 F1 siresLacaune chromosomes=
Sarda chromosomes=
1998
Sarda chromosomes=
xSarda ewes
BC ewes (G0)
2000‐2004
G3 ewes
x18 Sarda sires
G1 ewesx
11(+4) sires
G2 ewesx
11 Sarda sires
2003‐2009
x~20 AI sires/year
G3/G4 ewes
2010…
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
S2
has been designed to be the
nucleus flock (NF) of the
Sarda breed with the aim of estimating EBV and DGV of
the most important blood lines
Materials and methods
Description of the experimental nucleus flock of the Sarda breed
BC
generated by mating F1 Lacaune x Sarda sires with Sarda ewesS1
generated by mating Sarda sires with S0 ewesS2
generated by mating AI Sarda rams with S1 ewes
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
PhenotypesMaterials and methods
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
Genotyped animals (Illumina Inc. OvineSNP50 Beadchip):
• Around 2,000 G0, G1
and G2 ewes
• 10 F1 Lacaune x Sarda sires,
• 62 out of the 88 Sarda sires used in nucleus flock (SA)
• 94 AI old
Sarda rams with the highest genetic impact
on the selected population (HI)
Genotypes Genotyping: Porto Conte Ricerche ‐
iScan Platform of Illumina.
Individuals with a portion of missing genotypes higher than 10%
X chromosome and SNPs which could not be mapped
SNPs with call rate lower than 95%
MAF lower than 1%
(final data set: 44,859 SNP)
Materials and methods
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
• LA with “extended”
families:
including phenotypes and genotypes of grand‐
and great‐grand‐daughters
• At each SNP position a within‐family linear regression of phenotypes on the probability of inheriting one of the QTL
alleles of the family founder
• The model also included a founder effect and was tested by likelihood ratio test (LRT).
• Separate analyses were performed for F1
and SA
families in order to detect QTL segregating between breeds and within the Sarda breed respectively.
• Chromosome‐wise and genome‐wise significance thresholds were defined by 10,000 within family permutations.
Fine mapping of QTLs
Materials and methods
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
• Evaluated by relationship
and genomic relationship matrices
• Relationship matrix included 2,894 selected population (SP) sires of ewes with lactation records in 2011 and SA rams.
• The genomic relationship matrix included 94 HI and 62 SA
rams.
Genetic link between the selected population and the nucleus flock
Materials and methods
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
DGV were estimated
by LASSO‐LARS (LL) procedure using
1,464 ewes
of G1 and G2.
LL
procedure was run until 500 SNPs were fitted in the model.
At each step the correlation between DGVs obtained by the current set of active SNP effects and the corresponding EBVs was calculated.
The DGV for MY of HI and SA rams was calculated as the sum of the genotype effects derived from the estimated SNP allele substitution effects.
DGV and EBV calculation
Materials and methods
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
1.
SA rams: within NF and
official EBV
s
2.
SA rams: EBV
estimated on NF daughters and DGV
: to estimate the
SNP effects’
predictive ability
3.
HI rams: EBV estimated in the official genetic evaluation and DGV
:
to estimate the SNP effects’
predictive ability of EBV estimated for SP
rams
DGV and EBV correlations
Materials and methods
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
Results and discussion
Milk Yield• 2 QTL exceeding the genome‐wise significance threshold in F1 families• No SA QTL was genome‐wise significant.
Fat Content• 5 QTL exceeded the 0.05 genome‐wise significance threshold in F1 families. • 2 QTL exceeded the 0.05 genome‐wise significance in SA sires
Protein Content• 4 QTL exceeding the genome‐wise significance threshold in F1 families• 1 QTL exceeding the genome‐wise significant threshold in SA.
. * chromosome‐wise significant (p<0.05); § genome‐wise significant (p<0.05)
QTL fine mapping
Number of QTL detected in F1 was larger than in SA sires
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
• Among the 16 QTLs in F1 and SA on the same chromosomes, only OAR20 for MY, OAR 6 and 16 for PC
showed close peaks (<5 Mb)
• Results do not allow to clearly define causative mutation or LD markers
• LD and LDLA analyses are expected to improve the power of fine mapping
• Further improvements are expected by the increasing of the size of the genotyped and phenotyped portion of NF
and by the sequencing of a set of
target animals
. * chromosome‐wise significant (p<0.05); § genome‐wise significant (p<0.05)QTL fine mapping
Results and discussion
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
• 90% of HI have a genomic relationship higher than 0.125 with at least one SA sire
• 80% of SP sires had a relationship coefficient higher than 0.0625 with at least one SA.
• The percentage of HI and SP genome represented in SA seems to be sufficient to allow either a correct estimation of SNP effects or a sufficiently accurate evaluation
of SP blood lines.
Frequencies of maximum relationship between pairs of SP and HI sires with SA sires extracted from the
relationship and genomic relationship matrix respectively.
Genetic link between selected population and nucleus flock
Results and discussion
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
• Correlation between SA within NF EBV and official EBV was 0.51
• Correlation between SA within NF EBV and
DGV
was 0.91
• Correlation between official EBV and DGV of HI sires was 0.43.
DGV and EBV estimation
These results confirm that SNP effects estimated by genotypes of NF ewe
have a promising predictive ability of SA and HI sires EBVs.
The genomic tools originally used to detect QTLs can be also used also for genome‐wide selection
Further improvements are expected by increasing the number of genotyped and phenotyped NF ewes.
Results and discussion
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
Conclusion
QTL fine mapping•The
addition
of
the
following
generations
of
genotyped
and
phenotyped
ewes
combined
with
more
sophisticated
statistical methods will lead to a more precise definition of the QTL regions.
High
density
sequencing
techniques
on
target
animals
should
allow to identify causal mutations or LD SNPs to be used for selection.
DGV and EBV estimation•The
correlation
between
the
DGV
based
on
SNP
effects
from
the
nucleus
flock
and
EBV
estimated
by
progeny
test
in
the
selected population
confirms
that
the
nucleus
flock
can
be
useful
to
predict
genetic merit of rams used in the selected population.
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
• Results seem promising for including the pre‐existing experimental flock
created
for
QTL
detection
purposes
in
the
breeding
program
of the Sarda breed with
the aim
of
increasing
the
efficiency
of
the selection process.
• In the next future, simulation studies will be carried out to optimize the
size
of
the
nucleus
flock
and
to
find
objective
methods
for
choosing
the
blood
lines
to
include
in
the
nucleus
flock
and defining the size of the sire families.
General Conclusions
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
Potential Evolution of selection scheme of Sarda dairy sheep brePotential Evolution of selection scheme of Sarda dairy sheep breeded
AI and NM Elite rams
240,000 animals, 1,062 flocks
Sire’s dams
500 sampling rams
± 50 rams
3,000,000 animals; 11,000 flocks
One out‐of‐season lambing period per year
Lambing: adults from October to DecemberLambing: primiparous ewes from February to March
Lambs slaughtered after 30 days
Milk processed in PDO cheeses(Pecorino Romano, Pecorino Sardo e Fiore Sardo)
Selected Population
Commercial Flocks
Results and discussion
Official recording:•
Milk Yield• Fat and Protein Content• Udder Morphology• Somatic Cell Count• PrP Genotyping
Official recording:• Milk Yield• Fat and Protein Content• Udder Morphology• Somatic Cell Count• PrP Genotyping
Research Unit:
Genetics and Biotechnology
38th ICAR Annual Meeting. 2738th ICAR Annual Meeting. 27thth May May ‐‐ 11stst June 2012, Cork, IrelandJune 2012, Cork, Ireland
Agricultural Research Agency of Sardinia
Thank you for your attention
Study realised in the framework of the European Project 3SR ( FP7‐KBBE‐2009‐3‐245140)